Wealthsimple is hiring a Quantitative Trader in Toronto!

Wealthsimple is hiring a Quantitative Trader in Toronto to join its Capital Markets team, the group responsible for market-facing trading operations and execution across client and firm orders. The role sits at the intersection of research, algorithm development, and live trading: you will investigate market behaviour, test ideas through simulation, turn validated findings into automated trading logic, and oversee those systems in production. This is a hands-on opportunity for someone who enjoys owning outcomes, building new tools and pipelines, and working closely with engineering, data science, operations, and product partners in a hybrid environment.

Key responsibilities

  • Research market microstructure, liquidity, and price behaviour, then build quantitative models that explain and forecast market moves
  • Analyse order-flow characteristics such as toxicity and activity classification to improve routing, execution, and risk decisions
  • Create trading algorithms that generate and route orders, and collaborate with engineers to deploy them into production
  • Monitor and manage daily operation of algorithmic trading systems, adjusting as market conditions change
  • Build and maintain simulation frameworks that test algorithm performance against historical data
  • Work cross-functionally with engineering, data science, operations, and product teams to support trading outcomes

Key requirements

  • 3+ years in quantitative trading, quantitative research, algorithmic trading development, or a closely related capital markets role
  • STEM degree from a leading institution
  • Strong Python scripting skills
  • Solid grounding in statistics, probability, stochastic processes, and quantitative methods
  • Understanding of Canadian equity market structure
  • Familiarity with low-latency trading technologies and methodologies
  • CIRO trader registration is an asset
  • Seniority: Mid-level (3+ years)
  • Work mode: Hybrid
  • Key skills: Python, Statistics, Probability, Stochastic processes, Quantitative modeling, Canadian equity market structure, Low-latency trading, Algorithmic trading, Simulation frameworks, Order flow analysis





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